DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Model details →DeepSeek: DeepSeek V4 Pro vs Google: Gemini 2.5 Flash Lite (batch)
Google: Gemini 2.5 Flash Lite (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V4 Pro | Google: Gemini 2.5 Flash Lite (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.43 | $0.05 | 🏆 Google: Gemini 2.5 Flash Lite (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.87 | $0.20 | 🏆 Google: Gemini 2.5 Flash Lite (batch) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Google: Gemini 2.5 Flash Lite (batch) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V4 Pro better than Google: Gemini 2.5 Flash Lite (batch)?
Google: Gemini 2.5 Flash Lite (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V4 Pro and Google: Gemini 2.5 Flash Lite (batch)?
Input: $0.43 vs $0.05 per 1M tokens. Output: $0.87 vs $0.20 per 1M tokens.
What context windows do DeepSeek: DeepSeek V4 Pro and Google: Gemini 2.5 Flash Lite (batch) support?
DeepSeek: DeepSeek V4 Pro supports up to 1.0M tokens. Google: Gemini 2.5 Flash Lite (batch) supports up to 1.0M tokens.
Do both DeepSeek: DeepSeek V4 Pro and Google: Gemini 2.5 Flash Lite (batch) support tool calling?
DeepSeek: DeepSeek V4 Pro: yes. Google: Gemini 2.5 Flash Lite (batch): yes.
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